{"id":"W4382299308","doi":"10.3982/te4866","title":"Interview hoarding","year":2023,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Hoarding (animal behavior); Matching (statistics); Coronavirus disease 2019 (COVID-19); Psychology; Interview; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Social psychology; Medical education; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002469511,0.0001485262,0.0004332215,0.0001831453,0.00008730499,0.00008376782,0.0003306926,0.0001037613,0.001548496],"category_scores_gemma":[0.0002049513,0.0001699143,0.0001699989,0.0002042507,0.0002476673,0.0001190351,0.000132261,0.0001475347,0.02031473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006324416,"about_ca_system_score_gemma":0.000007678006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004251499,"about_ca_topic_score_gemma":6.183358e-7,"domain_scores_codex":[0.9985614,0.00004626602,0.0006172525,0.0003680298,0.00001204097,0.0003950536],"domain_scores_gemma":[0.9991381,0.0001866605,0.000161054,0.0003887007,0.000009552923,0.0001159307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006737289,0.000011778,0.0007000613,0.00002490972,0.00002772645,0.000002109356,0.0001896724,0.00007652354,0.000004745076,0.9973233,0.0005360913,0.001096297],"study_design_scores_gemma":[0.0002367756,0.00003531848,0.0007078574,0.0000230789,0.000003725754,0.000007022418,0.0001233417,0.00793025,0.00005769873,0.9543731,0.0362665,0.0002353556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.721893,0.0002407958,0.002372057,0.002176574,0.00124845,0.0001810257,0.00008312723,0.0003853582,0.2714196],"genre_scores_gemma":[0.9976228,0.0001637058,0.0001153887,0.0004925731,0.0002190285,0.00001844909,0.0000145794,0.00003985977,0.001313623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2757298,"threshold_uncertainty_score":0.9993642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330914361303197,"score_gpt":0.2324609691594248,"score_spread":0.1791518255463929,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}